
During September 2025, Daniel Smith developed and integrated a Solar System Object Query Module for the lsst/pipe_tasks repository, focusing on enhancing the LSST Data Management System’s ability to query solar system objects via the Sorcha service. He implemented the SorchaEphemerisQueryDRP.py component using Python, leveraging his expertise in astronomy, data analysis, and data management. This module enables efficient retrieval of ephemeris data, supporting improved observational planning and data provenance for solar system research. The work addressed a specific need for streamlined access to external astronomical data, demonstrating depth in both domain knowledge and technical implementation within a complex scientific pipeline.
Month: 2025-09 — concise summary focusing on key accomplishments, major work delivered for lsst/pipe_tasks, and the resulting business value.
Month: 2025-09 — concise summary focusing on key accomplishments, major work delivered for lsst/pipe_tasks, and the resulting business value.

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